Quentin Cappart

Artificial Intelligence · 2021

A researcher in the Science corpus: 1 paper; trusts 11 researchers and is trusted by 0 researchers here, as inferred from the citation graph.

Subfields

• Artificial Intelligence — 68 citations into it
• Industrial and Manufacturing Engineering — 11 citations into it

Whom Quentin Cappart trusts overall

Their strongest outbound trust, strongest first, inferred from their citations.

1. Yoshua Bengio
2. Geoffrey E. Hinton
3. Alex Graves
4. Richard S. Sutton
5. Diederik P. Kingma
6. Ilya Sutskever
7. Alex Krizhevsky
8. Max Welling
9. Yann LeCun
10. Thomas G. Dietterich

Papers from Quentin Cappart's perspective

Ordered by how strongly the researchers Quentin Cappart trusts endorse each paper. Same corpus, a different order for every researcher.

1. Deep Residual Learning for Image Recognition (Computer Vision and Pattern Recognition)
2. ImageNet classification with deep convolutional neural networks
3. Adam: A Method for Stochastic Optimization (International Conference on Learning Representations)
4. Long Short-Term Memory
5. Attention is All you Need (Neural Information Processing Systems)
6. Gradient-based learning applied to document recognition
7. ImageNet: A large-scale hierarchical image database
8. Batch Normalization: Accelerating Deep Network Training by Reducing Internal Covariate Shift (International Conference on Machine Learning)
9. Learning Multiple Layers of Features from Tiny Images
10. ImageNet Large Scale Visual Recognition Challenge

Their papers

• Combinatorial optimization and reasoning with graph neural networks (2021) — 498 citations